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Amplitude

Engineering Manager, Experimentation Data Infrastructure

Amplitude · San Francisco, CA

Posted about 3 months ago · $227,000 - $341,000 · Previously reposted

or apply directly on Amplitude 's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Amplitude 's roles stay open a median of 81 days
Reposted
Yes
taken down and listed again at least once
Salary listed
Yes
74% of Amplitude 's roles list one
Ghost-job risk at Amplitude
high
38 stale, 4 reposted of 39 open
Hiring momentum
62 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Amplitude 's own greenhouse board since 2026-08-03. Full hiring picture for Amplitude .

About this role

As an Engineering Manager at Amplitude, you will lead the Data Infrastructure team responsible for powering experimentation at scale. Your role involves overseeing data ingestion, computation, and statistical methods, ensuring that new methodologies are effectively implemented and reliable for customers. You will collaborate with data scientists, engineers, and product managers to advance experimentation strategies and improve platform capabilities.

Our read on this posting3.8out of 5
benefits
4/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Amplitude as an employer.

What you need

  • Strong data science background with hands-on experience in experimentation, statistics, or causal inference
  • Experience leading teams of 10-15 members that build and productionize statistically rigorous, data-intensive products
  • Familiarity with experimentation methods such as variance reduction, sequential testing, Bayesian inference, causal effects modeling, or heterogeneous treatment effects
  • Experience building large-scale data ingestion and distributed computation systems across cloud and data warehouse environments
  • Ability to connect statistical innovation, data architecture, and customer needs to define a compelling experimentation roadmap

Nice to have

  • An advanced degree in statistics, mathematics, computer science, economics, or another quantitative field
  • Experience with experimentation platforms, feature management systems, product analytics, or machine learning infrastructure
  • Experience building warehouse-native products or executing computation within Snowflake, BigQuery, Databricks, or similar environments
  • Experience supporting experimentation for large-scale consumer products, B2B products, marketplaces, social networks, or other settings with complex units of analysis

What you get

  • Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
  • 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually
  • Flexible time off, paid holidays, and more
  • Generous stipends for wellness, commuter transit/parking, learning and development, and home office equipment
  • Excellent Parental benefits including 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
  • Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessions

Worth weighing

  • This role is not a traditional data engineering management position; a strong data science background is essential.
  • The position requires a blend of statistical knowledge and engineering leadership, which may not suit candidates focused solely on data engineering.
  • The salary range is provided but varies based on location, which may affect candidates from different regions.

Summarised from Amplitude 's posting. Read the full original.

Listed by Amplitude on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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